标题:Effective 3D face depth estimation from a single 2D face image
作者:Kong, Dezhi ;Yang, Yang ;Liu, Yun-Xia ;Li, Min ;Jia, Hongying
通讯作者:Yang, Yang
作者机构:[Kong, Dezhi ;Yang, Yang ;Li, Min ] School of Information Science and Engineering, Shandong University, Jinan, China;[Jia, Hongying ] Second Hospital 更多
会议名称:16th International Symposium on Communications and Information Technologies, ISCIT 2016
会议日期:26 September 2016 through 28 September 2016
来源:2016 16th International Symposium on Communications and Information Technologies, ISCIT 2016
出版年:2016
页码:221-230
DOI:10.1109/ISCIT.2016.7751625
关键词:3D face; Delaunay triangulation; Depth estimation; Similarity
摘要:In this paper, we proposed an efficient framework for depth estimation from a single 2D face image to apply in 3D face reconstruction. The proposed framework consists of three components. Firstly, we recover the corresponding 2D images from 3D face models of database, and the feature points of these images will be extracted to form the 2D-3D database. Secondly, the same feature points extraction steps are executed to the test 2D image. Finally, according to the similarity of the triangles of the feature points between the test image and 2D-3D database, the depth of the test 2D face will be recovered. The experimental results show that the proposed method can estimate depth from a single 2D face image efficiently and robustly. © 2016 IEEE.
收录类别:EI;SCOPUS
Scopus被引频次:3
资源类型:会议论文;期刊论文
原文链接:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85006857089&doi=10.1109%2fISCIT.2016.7751625&partnerID=40&md5=499bc617db0bc6aeadc48527028d5db4
TOP